78 citations · 279 across the 20 of their papers we have counts for
3 papers · 1 filter
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles
Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo +2
The capability to autonomously track a non-cooperative target is a key technological requirement for micro aerial vehicles. In this paper, we propose an output feedback control sch…
D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles
Alberto Dionigi, Simone Felicioni, Mirko Leomanni +1
Visual active tracking is a growing research topic in robotics due to its key role in applications such as human assistance, disaster recovery, and surveillance. In contrast to pas…
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo +2
Gaussian Processes (GPs) are expressive models for capturing signal statistics and expressing prediction uncertainty. As a result, the robotics community has gathered interest in l…